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基于引用数据的科研团队学术影响力研究以ChatGPT研究为例

魏绪秋 徐雨薇 孙玉娟 韩启航

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基于引用数据的科研团队学术影响力研究以ChatGPT研究为例

Research on the Academic Influence of Research Teams Based on Citation Data: A Case Study of ChatGPT Research

魏绪秋 1徐雨薇 1孙玉娟 1韩启航1

作者信息

  • 1. 山东理工大学信息管理学院,淄博 255049
  • 折叠

摘要

科研团队是促进科学研究发展的中坚力量。识别科研团队并测度学术影响力,明晰其知识影响力十分必要。以科研团队为研究对象,以中国引文数据库中ChatGPT相关研究的引用数据为数据源,识别开展ChatGPT研究的科研团队,探讨科研团队微观层面(科研人员层面)的学术影响力、中观层面(文献层面)的学术影响力和宏观层面(学科层面)的学术影响力,并基于三维战略坐标分析科研团队学术影响力。研究表明,通过微观层面和中观层面的测度能较好地评价、遴选科研团队,而宏观层面的遴选中优质科研团队范围扩大约5个百分点。此外,依据三维战略坐标将开展ChatGPT研究的科研团队的学术影响力划分为8个区域。从三维战略坐标的8个区域出发剖析科研团队学术影响力,为加强科研团队建设提供参考。

Abstract

Research teams are the backbone force driving scientific research development. Identifying research teams and measuring their academic influence to clarify their knowledge influence is crucial. This study takes research teams as the research object, using citation data from ChatGPT-related studies in the Chinese Citation Database as the data source. It identifies research teams engaged in ChatGPT research, explores their academic influence at the micro level (researcher level), meso level (literature level), and macro level (disciplinary level), and analyzes team academic influence based on a three-dimensional strategic coordinate system. The findings indicate that micro and meso level measurements effectively evaluate and select research teams, while macro-level selection expands the range of high-quality teams by approximately 5 percentage points. Additionally, the study categorizes the academic influence of ChatGPT research teams into eight regions using the three-dimensional strategic coordinate system. Analyzing team influence from these eight regions provides references for enhancing research team development.

关键词

科研团队/学术影响力/三维战略坐标/ChatGPT/中国引文数据库

Key words

Research Teams/Academic Influence/Three-dimensional Strategic Coordinates/ChatGPT/Chinese Citation Database

引用本文复制引用

魏绪秋,徐雨薇,孙玉娟,韩启航.基于引用数据的科研团队学术影响力研究以ChatGPT研究为例[EB/OL].(2026-04-15)[2026-04-17].https://sinoxiv.napstic.cn/article/25763076.

学科分类

科学、科学研究

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